Fixed‐time fault‐tolerant control for power system with multiple actuator constraints
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Bibliographic record
Abstract
Abstract This paper copes with the fixed‐time fault‐tolerant control problem for a single‐machine infinite power system with static VAR compensators. In order to handle the controller design problem caused by the actuator failures and unknown dead zone input, a fuzzy fault‐tolerant control algorithm is derived by introducing the adaptive backstepping method. An adaptive fixed‐time control strategy is designed to guarantee that the output signal can track the desired trajectory within a fixed time, where the convergence time is independent of the initial condition. Compared with existing results, the proposed controller guarantees the controlled system maintains semiglobal fixed‐time stability and the tracking error converges to a small neighborhood around zero. Both actuator faults and dead zones have been considered, which can better meet the practical control requirements. A simulation example demonstrates the designed controller.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it